Senior Data Scientist

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę) . Please note that this is a hybrid role , requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week . We are not considering fully remote or B2B arrangements for this position. We are seeking an exceptional Senior Data Scientist to join our highly skilled team in Warsaw. You will play a pivotal role in developing a state-of-the-art system that leverages Bayesian statistics and advanced theoretical concepts to estimate and understand the size of marketing and advertising audiences. You will thrive in a fast-paced, dynamic environment where objectives evolve rapidly and complex, abstract problems are the norm. If you are passionate about tackling challenging statistical and mathematical problems, and enjoy working collaboratively with other experts, we want to hear from you. Location Requirement This is a hybrid role based in Warsaw, Poland . Candidates must currently reside in Warsaw, Poland or be willing to relocate independently to Warsaw, as relocation support is not provided for this position. What you'll be doing: Develop and implement Bayesian statistical models and other advanced analytical methods to estimate audience sizes and characteristics. Collaborate closely with a multidisciplinary team to design, build, and refine data-driven solutions. Write high-quality, production-ready Python code including package development, unit testing, and documentation. Work independently to solve complex mathematical and conceptual problems with minimal supervision. Engage in productive, abstract discussions with team members to untangle nuanced issues and arrive at robust solutions. Contribute to code repositories using Git and participate in code reviews and version control best practices. Utilise cloud computing resources for scalable data processing and model deployment. Handle diverse data formats and ensure data integrity throughout the analytics pipeline. Adapt quickly to changing project requirements and priorities. What you'll need: Postgraduate-level…